Cloud-edge collaboration in industrial internet of things: A joint offloading scheme based on resource prediction
With the continuous addition of an abundant of heterogeneous devices, the limitation of task
delay has become an obstacle to the development of the Industrial Internet of Things (IIoT) …
delay has become an obstacle to the development of the Industrial Internet of Things (IIoT) …
A high reliable computing offloading strategy using deep reinforcement learning for iovs in edge computing
K Wang, X Wang, X Liu - Journal of grid computing, 2021 - Springer
In view of the serious problems of increasing delay energy consumption and decreasing
service quality caused by complex network state and massive computing data in Internet of …
service quality caused by complex network state and massive computing data in Internet of …
Multi-agent reinforcement learning aided computation offloading in aerial computing for the internet-of-things
LEO satellite networks have become a necessary supplement to terrestrial networks aiming
to provide worldwide, ubiquitous connectivity, especially in complicated areas (eg …
to provide worldwide, ubiquitous connectivity, especially in complicated areas (eg …
Offloading and resource allocation with general task graph in mobile edge computing: A deep reinforcement learning approach
In this paper, we consider a mobile-edge computing (MEC) system, where an access point
(AP) assists a mobile device (MD) to execute an application consisting of multiple tasks …
(AP) assists a mobile device (MD) to execute an application consisting of multiple tasks …
Online computation offloading with double reinforcement learning algorithm in mobile edge computing
L Liao, Y Lai, F Yang, W Zeng - Journal of Parallel and Distributed …, 2023 - Elsevier
Smart mobile devices have recently emerged as a promising computing platform for
computation tasks. However, the task performance is restricted by the computing power and …
computation tasks. However, the task performance is restricted by the computing power and …
An efficient online computation offloading approach for large-scale mobile edge computing via deep reinforcement learning
Mobile edge computing (MEC) has been envisioned as a promising paradigm that could
effectively enhance the computational capacity of wireless user devices (WUDs) and quality …
effectively enhance the computational capacity of wireless user devices (WUDs) and quality …
Mobile-edge computation offloading for ultradense IoT networks
The emergence of massive Internet of Things (IoT) mobile devices (MDs) and the
deployment of ultradense 5G cells have promoted the evolution of IoT toward ultradense IoT …
deployment of ultradense 5G cells have promoted the evolution of IoT toward ultradense IoT …
Joint optimization of offloading utility and privacy for edge computing enabled IoT
Currently, edge computing (EC), emerging as a burgeoning paradigm, is powerful in
handling real-time resource provision for Internet of Things (IoT) applications. However, due …
handling real-time resource provision for Internet of Things (IoT) applications. However, due …
Satellite edge computing with collaborative computation offloading: An intelligent deep deterministic policy gradient approach
Enabling a satellite network with edge computing capabilities can complement the
advantages further of a single terrestrial network and provide users with a full range of …
advantages further of a single terrestrial network and provide users with a full range of …
Online deep reinforcement learning for computation offloading in blockchain-empowered mobile edge computing
Offloading computation-intensive tasks (eg, blockchain consensus processes and data
processing tasks) to the edge/cloud is a promising solution for blockchain-empowered …
processing tasks) to the edge/cloud is a promising solution for blockchain-empowered …